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Results: 160
Number of items: 160
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van den dool, W., Zhdanov, M., Asano, Y. M., & Welling, M. (2025). Adaptive Mesh-Quantization for Neural PDE Solvers. Transactions on Machine Learning Research, 2025, Article 5469. https://openreview.net/forum?id=NN17y897WG -
Eijkelboom, F., Zimmermann, H., Vadgama, S., Bekkers, E. J., Welling, M., Naesseth, C. A., & van de Meent, J.-W. (2025). Controlled Generation with Equivariant Variational Flow Matching. Proceedings of Machine Learning Research, 267, 15066-15078. https://proceedings.mlr.press/v267/eijkelboom25a.html -
Schneuing, A., Harris, C., Du, Y., Didi, K., Jamasb, A., Igashov, I., Du, W., Gomes, C., Blundell, T. L., Lio, P., Welling, M., Bronstein, M., & Correia, B. (2024). Structure-based drug design with equivariant diffusion models. Nature Computational Science, 4(12), 899-909. https://doi.org/10.1038/s43588-024-00737-x -
Romijnders, R., Louizos, C., Asano, Y. M., & Welling, M. (2024). Protect Your Score: Contact-tracing With Differential Privacy Guarantees. In M. Wooldridge, J. Dy, & S. Natarajan (Eds.), Proceedings of the 38th AAAI Conference on Artificial Intelligence: AAAI-2024 (Vol. 13, pp. 14829-14837). AAAI Press. https://doi.org/10.1609/aaai.v38i13.29402
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